Dataset Information

Prognostic accuracy of FIB-4, NAFLD fibrosis score and APRI for NAFLD-related events: A systematic review.

ABSTRACT:

Background & aims

Fibrosis is the strongest predictor for long-term clinical outcomes among patients with non-alcoholic fatty liver disease (NAFLD). There is growing interest in employing non-invasive methods for risk stratification based on prognosis. FIB-4, NFS and APRI are models commonly used for detecting fibrosis among NAFLD patients. We aimed to synthesize existing literature on the ability of these models in prognosticating NAFLD-related events.

Methods

A sensitive search was conducted in two medical databases to retrieve studies evaluating the prognostic accuracy of FIB-4, NFS and APRI among NAFLD patients. Target events were change in fibrosis, liver-related event and mortality. Two reviewers independently performed reference screening, data extraction and quality assessment (QUAPAS tool).

Results

A total of 13 studies (FIB-4:12, NFS: 11, APRI: 10), published between 2013 and 2019, were retrieved. All studies were conducted in a secondary or tertiary care setting, with follow-up ranging from 1 to 20 years. All three markers showed consistently good prognostication of liver-related events (AUC from 0.69 to 0.92). For mortality, FIB-4 (AUC of 0.67-0.82) and NFS (AUC of 0.70-0.83) outperformed APRI (AUC of 0.52-0.73) in all studies. All markers had inconsistent performance for predicting change in fibrosis stage.

Conclusions

FIB-4, NFS, and APRI have demonstrated ability to risk stratify patients for liver-related morbidity and mortality, with comparable performance to a liver biopsy, although more head-to-head studies are needed to validate this. More refined models to prognosticate NAFLD-events may further enhance performance and clinical utility of non-invasive markers.

SUBMITTER: Lee J

PROVIDER: S-EPMC7898346 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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Publications

Prognostic accuracy of FIB-4, NAFLD fibrosis score and APRI for NAFLD-related events: A systematic review.

Lee Jenny J Vali Yasaman Y Boursier Jerome J Spijker Rene R Anstee Quentin M QM Bossuyt Patrick M PM Zafarmand Mohammad H MH

Liver international : official journal of the International Association for the Study of the Liver 20210201 2

<h4>Background & aims</h4>Fibrosis is the strongest predictor for long-term clinical outcomes among patients with non-alcoholic fatty liver disease (NAFLD). There is growing interest in employing non-invasive methods for risk stratification based on prognosis. FIB-4, NFS and APRI are models commonly used for detecting fibrosis among NAFLD patients. We aimed to synthesize existing literature on the ability of these models in prognosticating NAFLD-related events.<h4>Methods</h4>A sensitive search ...[more]

PMID: 32946642

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Project description:Background and aimsNon-invasive laboratory-based fibrosis indices have been proposed as a tool for population-based screening for advanced fibrosis. We aimed to examine the performance of fibrosis indices at the time of and prior to cirrhosis diagnosis.MethodsWe included adult patients with cirrhosis diagnosis codes in a privately insured database (Optum) from 2010-2018 with 1:4 birth year-matched controls without cirrhosis diagnosis codes. We analyzed aspartate aminotransferase-to-platelet ratio index (APRI), and fibrosis-4 index (FIB-4) up to 30 months prior to the entry of cirrhosis diagnosis codes. Cut-offs of <1 and ≥2 were used for APRI and <1.3 and ≥2.67 were used for FIB-4.ResultsWe included 10,650 patients with cirrhosis (median age 62 years), who were predominantly white (57.8%) and male (51.9%). The most common etiologies of cirrhosis were non-alcoholic steatohepatitis (23.8%), hepatitis C (23.0%), and alcohol-related liver disease (20.5%). At the time of cirrhosis diagnosis (±3 months), 9.3% of patients with cirrhosis had APRI ≥2 and 41.3% had a FIB-4 ≥2.67 compared to 1.2% and 8.9% in control patients, respectively. In the periods spanning 3-12, 12-21, and 21-30 months prior to cirrhosis diagnosis, APRI was ≥2 in 9.4%, 6.6%, and 6.5% of patients, respectively; FIB-4 was ≥2.67 in 42.1%, 37.1%, and 34.3% of patients, respectively. The sensitivity and specificity of APRI at the time of cirrhosis diagnosis were 9.3% and 98.8%, respectively, while the sensitivity and specificity of FIB-4 were 41.3% and 91.0%, respectively. Lower cut-off values for APRI and FIB-4 showed similar performance.ConclusionsExisting non-invasive fibrosis makers are suboptimal when used for advanced fibrosis identification, missing over half of patients with cirrhosis at the time of and prior to clinical diagnosis.Impact and implicationsCommonly available laboratory-based indices, including APRI and FIB-4, have been proposed to rule in or rule out advanced fibrosis in the general population. In a study of a large privately insured cohort from the US, FIB-4 and APRI were not sufficient for screening for advanced fibrosis at the time of or prior to clinical diagnosis. While performance for screening out advanced fibrosis was better, a significant percentage of patients with cirrhosis have lab indices below threshold values. Future studies to develop laboratory-based algorithms to help stratify liver fibrosis for population-based screening are warranted.

Project description:Despite vaccination programs, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection remains a public health problem. Identifying key prognostic determinants of severity of the disease may help better focus health resources. The negative prognostic role for metabolic and hepatic alterations is established; however, the interplay among different metabolic comorbidities and their interconnections with the liver have never been explored.The objective of this study is to evaluate the impact of liver alterations in addition to metabolic comorbidities as a predictor of SARS-CoV-2 severity. 382 SARS-CoV-2 patients were enrolled. Severe SARS-CoV-2 was diagnosed according to international consensus. Transaminases > 2 times the upper limit of normality (2ULN), hepatic steatosis (by ultrasound and/or computed tomography in 133 patients), and FIB-4 defined liver alterations. All data were collected on admission. The results are severe SARS-CoV-2 infection in 156 (41%) patients (mean age 65 ± 17; 60%males). Prevalence of obesity was 25%; diabetes, 17%; hypertension, 44%; dyslipidaemia, 29%; with 13% of the cohort with ≥ 3 metabolic alterations. Seventy patients (18%) had transaminases > 2ULN, 82 (62%) steatosis; 199 (54%) had FIB-4 < 1.45 and 45 (12%) > 3.25. At multivariable analysis, ≥ 3 metabolic comorbidities (OR 4.1, CI 95% 1.8-9.1) and transaminases > 2ULN (OR 2.6, CI 95% 1.3-6.7) were independently associated with severe SARS-CoV-2. FIB-4 < 1.45 was a protective factor (OR 0.42, CI 95% 0.23-0.76). Hepatic steatosis had no impact on disease course. The presence of metabolic alterations is associated with severe SARS-CoV-2 infection, and the higher the number of coexisting comorbidities, the higher the risk of severe disease. Normal FIB-4 values are inversely associated with advanced SARS-CoV-2 regardless of metabolic comorbidities, speculating on use of these values to stratify the risk of severe infection.

Dataset Information

Prognostic accuracy of FIB-4, NAFLD fibrosis score and APRI for NAFLD-related events: A systematic review.

Background & aims

Methods

Results

Conclusions

Publications

Prognostic accuracy of FIB-4, NAFLD fibrosis score and APRI for NAFLD-related events: A systematic review.

Similar Datasets

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